scispace - formally typeset
H

Huanwen Chen

Researcher at Purdue University

Publications -  11
Citations -  1722

Huanwen Chen is an academic researcher from Purdue University. The author has contributed to research in topics: Mass spectrometry & Extractive electrospray ionization. The author has an hindex of 11, co-authored 11 publications receiving 1648 citations.

Papers
More filters
Journal ArticleDOI

Extractive electrospray ionization for direct analysis of undiluted urine, milk and other complex mixtures without sample preparation.

TL;DR: On-line droplet-droplet extraction occurs when a sample spray intersects a reagent electrospray; this allows continuous analysis of trace amounts of compounds directly in complex matrices including undiluted urine, milk and polluted water over extended periods of time.
Journal ArticleDOI

Direct, trace level detection of explosives on ambient surfaces by desorption electrospray ionization mass spectrometry

TL;DR: Desorption electrospray ionization (DESI) mass spectrometry is used to detect trace amounts of explosives present on a variety of ambient surfaces in 5-second analysis times without any sample preparation.
Journal ArticleDOI

Desorption Electrospray Ionization Mass Spectrometry for High-Throughput Analysis of Pharmaceutical Samples in the Ambient Environment

TL;DR: Positive and negative ion DESI are used to characterize the active ingredients in pharmaceutical samples formulated as tablets, ointments, and liquids, and carryover effects are minimized in high-throughput on-line analysis of pharmaceutical samples.
Journal ArticleDOI

Principal component analysis of urine metabolites detected by NMR and DESI-MS in patients with inborn errors of metabolism

TL;DR: The combined approach discussed here may prove useful in the rapid screening of biological fluids from sick patients and may help to improve the understanding of these rare diseases.
Journal ArticleDOI

Combining desorption electrospray ionization mass spectrometry and nuclear magnetic resonance for differential metabolomics without sample preparation

TL;DR: Principal component analysis (PCA) is used to shortlist compounds with potential for biomarker screening which are responsible for significant differences between control urine samples and samples from diseased animals.